Ict Innovations 2020 Machine Learning And Applications

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ICT Innovations 2020. Machine Learning and Applications

Author : Vesna Dimitrova
Publisher : Springer Nature
ISBN 13 : 3030620980
Total Pages : 246 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis ICT Innovations 2020. Machine Learning and Applications by : Vesna Dimitrova

Download or read book ICT Innovations 2020. Machine Learning and Applications written by Vesna Dimitrova and published by Springer Nature. This book was released on 2020-10-29 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International ICT Innovations Conference, ICT Innovations 2020, held in Skopje, North Macedonia, in September 2020. The 12 full papers and 6 short papers presented were carefully reviewed and selected from 60 submissions. The focal point of the volume is machine learning and applications in spheres of business, science and technology.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Computational Intelligence in Healthcare

Author : Meenu Gupta
Publisher : CRC Press
ISBN 13 : 1000829448
Total Pages : 227 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Computational Intelligence in Healthcare by : Meenu Gupta

Download or read book Computational Intelligence in Healthcare written by Meenu Gupta and published by CRC Press. This book was released on 2023-02-10 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. Artificial intelligent systems offer great improvement in healthcare systems by providing more intelligent and convenient solutions and services assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing. Modern health treatments are faced with the challenge of acquiring, analysing, and applying the large amount of knowledge necessary to solve complex problems. AI techniques are being effectively used in the field of healthcare systems by extracting the useful information from the vast amounts of data by applying human expertise and CI methods, such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods which have recently emerged as promising tools for the development and application of intelligent systems in healthcare practice. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with them. Contained in the book are state-of-the-art CI methods and other allied techniques used in healthcare systems as well as advances in different CI methods that confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide the latest research related to the healthcare sector to researchers and engineers with a platform encompassing state-of-the-art innovations, research and design, and the implementation of methodologies.

Machine Learning and Probabilistic Graphical Models for Decision Support Systems

Author : Kim Phuc Tran
Publisher : CRC Press
ISBN 13 : 100077144X
Total Pages : 330 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Machine Learning and Probabilistic Graphical Models for Decision Support Systems by : Kim Phuc Tran

Download or read book Machine Learning and Probabilistic Graphical Models for Decision Support Systems written by Kim Phuc Tran and published by CRC Press. This book was released on 2022-10-13 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc. Researchers and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their uses in DSS in the context of decision making with uncertainty. The real-world case studies in various fields with guidance and recommendations for the practical applications of these studies are introduced in each chapter.

ICT: Innovation and Computing

Author : Amit Joshi
Publisher : Springer Nature
ISBN 13 : 9819994861
Total Pages : 500 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis ICT: Innovation and Computing by : Amit Joshi

Download or read book ICT: Innovation and Computing written by Amit Joshi and published by Springer Nature. This book was released on with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Cryptocoding Based on Quasigroups

Author : Daniela Mechkaroska
Publisher : Springer Nature
ISBN 13 : 303150125X
Total Pages : 100 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Cryptocoding Based on Quasigroups by : Daniela Mechkaroska

Download or read book Cryptocoding Based on Quasigroups written by Daniela Mechkaroska and published by Springer Nature. This book was released on 2024-02-13 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the concept of cryptcoding which arises from the need to obtain secure and accurate transmission. Therefore, it is necessary to improve constantly existing and develop new algorithms that will ensure accurate and secure data transfer. This leads to the intensive development of coding theory and cryptography as scientific fields which solve these problems. To ensure efficient and secure data transmission at the same time, the concept of cryptcoding is developed such that the coding and encryption processes are merged into one process. Cryptcodes provide correction of a certain number of errors in the transmitted message and data confidentiality, using only one algorithm. The main research in this field is to define new algorithms for coding that detects and corrects errors, random codes, stream ciphers, block ciphers, pseudo-random generators, hash functions, etc. This monograph examines an application of quasigroups for designing error-correcting cryptcodes, called Random Codes Based on Quasigroups (RCBQ ). These codes are a combination of cryptographic algorithms and error-correcting codes and depend on several parameters. Some modifications (new coding/decoding algorithms) of RCBQ for improving their performances for transmission ordinary messages, images, and audio files trough a binary-symmetric channel, Gaussian channel, and burst channels are considered. Also, authors propose and analyze filter for visually enhance of the decoded images and improving the quality of decoded audio files.

Information and Communication Technologies (ICT) and Precision Livestock (PLF) Applications in Farm Conditions

Author : Demet Canga
Publisher : Livre de Lyon
ISBN 13 : 2382362731
Total Pages : 53 pages
Book Rating : 4.3/5 (823 download)

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Book Synopsis Information and Communication Technologies (ICT) and Precision Livestock (PLF) Applications in Farm Conditions by : Demet Canga

Download or read book Information and Communication Technologies (ICT) and Precision Livestock (PLF) Applications in Farm Conditions written by Demet Canga and published by Livre de Lyon. This book was released on 2022-06-15 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information and Communication Technologies (ICT) and Precision Livestock (PLF) Applications in Farm Conditions

Machine Learning and Deep Learning for Smart Agriculture and Applications

Author : Hashmi, Mohamamd Farukh
Publisher : IGI Global
ISBN 13 : 1668499762
Total Pages : 276 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Machine Learning and Deep Learning for Smart Agriculture and Applications by : Hashmi, Mohamamd Farukh

Download or read book Machine Learning and Deep Learning for Smart Agriculture and Applications written by Hashmi, Mohamamd Farukh and published by IGI Global. This book was released on 2023-08-29 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Deep Learning for Smart Agriculture and Applications delves into the captivating realm of artificial intelligence and its pivotal role in transforming the landscape of modern agriculture. With a focus on precision agriculture, digital farming, and emerging concepts, this book illuminates the significance of sustainable food production and resource management in the face of evolving digital hardware and software technologies. Geospatial technology, robotics, the Internet of Things (IoT), and data analytics converge with machine learning and big data to unlock new possibilities in agricultural management. This book explores the synergy between these disciplines, offering cutting-edge insights into data-intensive processes within operational agricultural environments. From automated irrigation systems and agricultural drones for field analysis to crop monitoring and precision agriculture, the applications of machine learning are far-reaching. Animal identification and health monitoring also benefit from these advanced techniques. With practical case studies on vegetable and fruit leaf disease detection, drone-based agriculture, and the impact of pesticides on plants, this book provides a comprehensive understanding of the applications of machine learning and deep learning in smart agriculture. It also examines various modeling techniques employed in this field and showcases how artificial intelligence can revolutionize plant disease detection. This book serves as a comprehensive guide for researchers, practitioners, and students seeking to harness the power of AI in transforming the agricultural landscape.

ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data

Author : Marija Mihova
Publisher : Springer Nature
ISBN 13 : 3031543211
Total Pages : 274 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data by : Marija Mihova

Download or read book ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data written by Marija Mihova and published by Springer Nature. This book was released on with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain

Author : Chinmay Chakraborty
Publisher : Academic Press
ISBN 13 : 0323919367
Total Pages : 299 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain by : Chinmay Chakraborty

Download or read book Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain written by Chinmay Chakraborty and published by Academic Press. This book was released on 2022-09-27 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain provides imperative research on the development of data fusion and analytics for healthcare and their implementation into current issues in a real-time environment. While highlighting IoT, bio-inspired computing, big data, and evolutionary programming, the book explores various concepts and theories of data fusion, IoT, and Big Data Analytics. It also investigates the challenges and methodologies required to integrate data from multiple heterogeneous sources, analytical platforms in healthcare sectors. This book is unique in the way that it provides useful insights into the implementation of a smart and intelligent healthcare system in a post-Covid-19 world using enabling technologies like Artificial Intelligence, Internet of Things, and blockchain in providing transparent, faster, secure and privacy preserved healthcare ecosystem for the masses. - Explains how IoT can be integrated into the healthcare ecosystem for better diagnostics, monitoring and treatment - Includes AI for predictive and preventive healthcare - Describes blockchain for managing healthcare data to provide transparency, security and distributed storage - Offers effective remote diagnostics and telemedicine approaches - Highlights the importance of gold standard medical datasets for improved modeling and analysis

Big Data Intelligence for Smart Applications

Author : Youssef Baddi
Publisher : Springer Nature
ISBN 13 : 3030879542
Total Pages : 343 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Big Data Intelligence for Smart Applications by : Youssef Baddi

Download or read book Big Data Intelligence for Smart Applications written by Youssef Baddi and published by Springer Nature. This book was released on 2022-01-18 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, the use of machine intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines. As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity. This book presents the latest advances in big data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions,and technological advances related to developing and transforming cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.

Intelligent Computing

Author : Kohei Arai
Publisher : Springer Nature
ISBN 13 : 3030801292
Total Pages : 1108 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Intelligent Computing by : Kohei Arai

Download or read book Intelligent Computing written by Kohei Arai and published by Springer Nature. This book was released on 2021-07-05 with total page 1108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world. Each chapter is a paper presented at the Computing Conference 2021 held on 15-16 July 2021. Computing 2021 attracted a total of 638 submissions which underwent a double-blind peer review process. Of those 638 submissions, 235 submissions have been selected to be included in this book. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this volume interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications is a trigger for further related research and technology improvements in this important subject.

Innovations in Information and Communication Technologies (IICT-2020)

Author : Pradeep Kumar Singh
Publisher : Springer
ISBN 13 : 9783030662202
Total Pages : 474 pages
Book Rating : 4.6/5 (622 download)

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Book Synopsis Innovations in Information and Communication Technologies (IICT-2020) by : Pradeep Kumar Singh

Download or read book Innovations in Information and Communication Technologies (IICT-2020) written by Pradeep Kumar Singh and published by Springer. This book was released on 2022-07-30 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book is comprised of original research that focuses on technological advancements for effective teaching with an emphasis on learning outcomes, ICT trends in higher education, sustainable developments and digital ecosystem in education, management and industries. The contents of the book are classified as; (i) Emerging ICT Trends in Education, Management and Innovations (ii) Digital Technologies for advancements in education, management and IT (iii) Emerging Technologies for Industries and Education, and (iv) ICT Technologies for Intelligent Applications. The book represents a useful tool for academics, researchers, industry professionals and policymakers to share and learn about the latest teaching and learning practices supported by ICT. It also covers innovative concepts applied in education, management and industries using ICT tools.

Innovations in the Industrial Internet of Things (IIoT) and Smart Factory

Author : Goundar, Sam
Publisher : IGI Global
ISBN 13 : 1799833771
Total Pages : 311 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Innovations in the Industrial Internet of Things (IIoT) and Smart Factory by : Goundar, Sam

Download or read book Innovations in the Industrial Internet of Things (IIoT) and Smart Factory written by Goundar, Sam and published by IGI Global. This book was released on 2021-01-22 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial internet of things (IIoT) is changing the face of industry by completely redefining the way stakeholders, enterprises, and machines connect and interact with each other in the industrial digital ecosystem. Smart and connected factories, in which all the machinery transmits real-time data, enable industrial data analytics for improving operational efficiency, productivity, and industrial processes, thus creating new business opportunities, asset utilization, and connected services. IIoT leads factories to step out of legacy environments and arcane processes towards open digital industrial ecosystems. Innovations in the Industrial Internet of Things (IIoT) and Smart Factory is a pivotal reference source that discusses the development of models and algorithms for predictive control of industrial operations and focuses on optimization of industrial operational efficiency, rationalization, automation, and maintenance. While highlighting topics such as artificial intelligence, cyber security, and data collection, this book is ideally designed for engineers, manufacturers, industrialists, managers, IT consultants, practitioners, students, researchers, and industrial industry professionals.

Proceedings of Seventh International Congress on Information and Communication Technology

Author : Xin-She Yang
Publisher : Springer Nature
ISBN 13 : 9811916071
Total Pages : 910 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Proceedings of Seventh International Congress on Information and Communication Technology by : Xin-She Yang

Download or read book Proceedings of Seventh International Congress on Information and Communication Technology written by Xin-She Yang and published by Springer Nature. This book was released on 2022-08-02 with total page 910 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers presented at the Seventh International Congress on Information and Communication Technology, held at Brunel University, London, on February 21–24, 2022. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.

Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries

Author : Goel, Neha
Publisher : IGI Global
ISBN 13 : 166848787X
Total Pages : 570 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries by : Goel, Neha

Download or read book Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries written by Goel, Neha and published by IGI Global. This book was released on 2023-07-03 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology has proven efficient in solving many real-world problems, and ML algorithms combined with IoT means the fusion of product and intelligence to achieve better automation, efficiency, productivity, and connectivity. The Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries highlights the importance of ML for IoT’s success and diverse ML-powered IoT applications. This book addresses the problems and challenges in energy, industry, and healthcare and solutions proposed for ML-enabled IoT and new algorithms in ML. It further addresses their accuracy for existing real-time applications. Covering topics such as agriculture, pattern recognition, and smart applications, this premier reference source is an essential resource for engineers, scientists, educators, students, researchers, and academicians.

Advances in Explainable AI Applications for Smart Cities

Author : Ghonge, Mangesh M.
Publisher : IGI Global
ISBN 13 : 1668463636
Total Pages : 523 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Advances in Explainable AI Applications for Smart Cities by : Ghonge, Mangesh M.

Download or read book Advances in Explainable AI Applications for Smart Cities written by Ghonge, Mangesh M. and published by IGI Global. This book was released on 2024-01-18 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.